Triple

T10614490
Position Surface form Disambiguated ID Type / Status
Subject City of Sydney local government area E276083 entity
Predicate contains P35 FINISHED
Object Haymarket E344912 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haymarket | Statement: [City of Sydney local government area, contains, Haymarket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haymarket
Context triple: [City of Sydney local government area, contains, Haymarket]
  • A. Haymarket
    Haymarket is a small historic town in Prince William County, Northern Virginia, known for its quaint downtown and proximity to Washington, D.C.
  • B. Haymarket
    Haymarket is a major transport hub and district in Edinburgh, Scotland, known for its busy railway station and tram stop connecting the city center with the west and the airport.
  • C. Haymarket chosen
    Haymarket is an inner-city suburb of Sydney, Australia, known for its bustling markets, Chinatown precinct, and proximity to major transport and commercial hubs.
  • D. Haymarket
    Haymarket is a historic street in the City of Westminster, central London, known for its theatres, entertainment venues, and proximity to major West End attractions.
  • E. Haymarket
    Haymarket is a major subway station in downtown Boston serving the MBTA Green and Orange Lines and providing access to nearby markets and civic areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5da6808190bd4cb486431dc42c completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ecd44b08190bccbedd63544ba17 completed April 10, 2026, 8:34 p.m.
Created at: April 8, 2026, 7:33 p.m.